The document outlines the course content for a Hadoop Developer/Admin Training course. It details the various topics that will be covered including Hadoop architecture, MapReduce architecture, Hadoop developer tasks, Hadoop administrative tasks, HBase architecture, Hive architecture, Pig architecture, Sqoop architecture, and a mini project. Key concepts that will be explored are HDFS, NameNode, DataNode, JobTracker, TaskTracker, MapReduce jobs, writing MapReduce programs in Java, Hadoop administration, and using tools like Hive, Pig, and Sqoop. Hands-on exercises are included for each topic.

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Hadoop Course Content
Hadoop Developer/Admin Training Course Content
Hadoop Architecture
 Introduction to Hadoop
 Parallel Computer vs. Distributed Computing
 How to install Hadoop on your system
 How to install Hadoop cluster on multiple machines
 Hadoop Daemons introduction:
 NameNode, DataNode, JobTracker, TaskTracker
 Exploring HDFS (Hadoop Distributed File System)
 Exploring the HDFS Apache Web UI
 NameNode architecture
 (EditLog, FsImage, location of replicas)
 Secondary NameNode architecture
 DataNode architecture
MapReduce Architecture
 Exploring JobTracker/TaskTracker
 How to run a Map-Reduce job
 Exploring Mapper/Reducer/Combiner
 Shuffle: Sort & Partition
 Input/output formats
 Exploring the Apache MapReduce Web UI
Hadoop Developer Tasks
 Writting a Map-Reduce programme
 Reading and writing data using Java
 Hadoop Eclipse integration
 Mapper in details
 Reducer in details
 Using Combiners
 Reducing Intermediate Data with Combiners
 Writing Partitioners for Better Load Balancing
 Sorting in HDFS
 Searching in HDFS
 Hands-On Exercise
Hadoop Administrative Tasks
 Writting a Map-Reduce programme
 Reading and writing data using Java
 Hadoop Eclipse integration
 Mapper in details
 Reducer in details
 Using Combiners
 Reducing Intermediate Data with Combiners
 Writing Partitioners for Better Load Balancing
 Sorting in HDFS
 Searching in HDFS
 Hands-On Exercise
HBase Architecture
 Routine Administrative Procedures
 Understanding dfsadmin and mradmin
 Block Scanner, Balancer
 Health Check & Safe mode
 Monitoring and Debugging on a production cluster
 NameNode Back up and Recovery
 DataNode commissioning/decommissioning
 ACL (Access control list)
 Upgrading Hadoop
Hive Architecture
 Introduction to Hive
 HBase vs Hive
 Installation of Hive on your system
 HQL (Hive query language )
 Basic Hive commands
 Hands-on-Exercise
PIG Architecture hadoop
 Introduction to Pig
 Installation of Pig on your system
 Basic Pig commands
 Hands-On Exercise
Sqoop Architecture
 Introduction to Sqoop
 Installation of Sqoop on your system
 Import/Export data from RDBMS to HDFS
 Import/Export data from RDBMS to HBase
 Import/Export data from RDBMS to Hive
 Hands-On Exercise
Mini Project / POC ( Proof of Concept )
 Facebook-Hive POC
 Usages of Hadoop/Hive @ Facebook
 Static & dynamic partitioning
 UDF ( User defined functions )